Cited by 214Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesDiet, Metabolism, and Disease

The metabolic syndrome: time to get off the merry-go-round?: Review: The metabolic syndrome

Open access
Reaven, G. M.·2011·Journal of Internal Medicine

Abstract

The diagnostic category of the metabolic syndrome (MetS) has received considerable attention over the last decade, and prestigious organizations continue to strive for its incorporation into medical practice. This review has three goals: (i) summarize the history of the several attempts to define a diagnostic category designated as the MetS; (ii) question the aetiological role of abdominal obesity in the development of the other components of the MetS; and (iii) evaluate a diagnosis of the MetS as an effective way to identify apparently healthy individuals at increased risk to develop cardiovascular disease (CVD) or type 2 diabetes (2DM). The most important conclusion is that the MetS seems to be less effective in this population than the Framingham Risk Score in predicting CVD, and no better, if not worse, than fasting plasma glucose concentrations in predicting 2DM.

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Crossref · 10.1111/j.1365-2796.2010.02325.x

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  • The term Metabolic Syndrome remains the most widely accepted name to describe the cluster of metabolically related CVD risk factors despite attempts to discard it as a clinical entity.

    “The term Metabolic Syndrome remains the most widely accepted name to describe this cluster of metabolically related CVD risk factors 40 despite vigorous attempts to discard the syndrome as a clinical entity 43, 53.”
  • Several separate and conflicting components and diagnostic criteria for the Metabolic Syndrome had been proposed by different organizations and individuals over past decades.

    “Quite independent of this, several separate and conflicting components and diagnostic criteria for the Metabolic Syndrome had been proposed by different organizations and individuals over past decades.”

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Research works printed but not linked: 6

  1. Lillioja S, Mott DM, Spraul M et al. Insulin resistance and insulin secretory dysfunction as precursors of non-insulin-dependent diabetes mellitus. N Engl J Med 1993; 329: 1988-92.
  2. Olefsky JM, Reaven GM, Farquhar JW. Effects of weight reduc- tion on obesity: studies of carbohydrate and lipid metabolism. J Clin Invest 1974; 53: 64-76.
  3. Wildman RP, Munter P, Reynolds K et al. The obese without car- diometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering. Arch Intern Med 2008; 168: 1617-24.
  4. Cameron AJ, Magliano DJ, Zimmet PZ et al. The metabolic syn- drome as a tool for predicting future diabetes. Intern Med 2008; 264: 177-86.
  5. Wilson PWF, D'Agostino RB, Parise H, Sullivan L, Meigs JB. Meta- bolic syndrome as a predictor of cardiovascular disease and type 2 diabetes. Circulation 2005; 112: 3066-72.
  6. Stern MP, Williams K, Haffner SM. Identification of individuals at high risk of type 2 diabetes: do we ned the oral glucose tolerance test? Ann Intern Med 2002; 136: 575-81.

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Authors
Reaven, G. M.
Affiliations
Stanford Medicine (US)
Corresponding author
Reaven, G. M.
Venue
Journal of Internal Medicine
Publisher
Wiley
Published
2010-12-03
Volume
269
Issue
2
Pages
127-136
ISSN
0954-6820 (ISSN-L)
OpenAlex
W1492634769
Cited by
214
References
46
Citations by year
2026: 6 · 2025: 10 · 2024: 5 · 2023: 1 · 2022: 4 · 2021: 11 · 2020: 8 · 2019: 12 · 2018: 11 · 2017: 19 · 2016: 19 · 2015: 14 · 2014: 27 · 2013: 17 · 2012: 34
FWCI
2.98
Type
journal article
Language
en
Open access
Locations
  • Journal of Internal Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords
metabolic syndrome, diagnostic criteria, abdominal obesity, cardiovascular risk, type 2 diabetes, Framingham risk score, fasting blood glucose, risk prediction, etiology
MeSH terms
Cardiovascular Diseases, Diabetes Mellitus, Type 2, Humans, Risk Assessment, Metabolic Syndrome, Obesity, Abdominal

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